Rice University

Events at Rice

Thesis Defense

Graduate and Postdoctoral Studies
Applied Physics Electrical and Computer Engineering

Speaker: Yun Li
Masters Candidate

Model-Based Acquisition for Compressive Sensing & Imaging

Tuesday, April 9, 2013
10:00 AM  to 12:00 PM

A227  Abercrombie Engineering Laboratory


Compressive Sensing (CS) is a novel imaging technology based on the inherent redundancy of natural scenes. CS's applications in imaging or classification embodied in the Rice single-pixel camera are limited by its acquisition time. In this study, hybrid-subspace sparse sampling and secant projection on manifold data are applied to speed up imaging and classification tasks. Both methods considerably decrease the number of required measurements compared with the pure random patterns, and make CS applicable in the situation where quick acquisition is required.

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